Complex Analysis Method of Spectrophotometric and Ultrasound Data for the Automatic Differential Diagnosis of Early Stage Malignant Skin Tumours (SkinImageFusion)


Project no.: P-MIP-17-34

Project description:

Skin melanoma is the malignant tumour, whose prevalence is rising worldwide. Diagnostic accuracy of the melanoma achieved during visual observation is only about 60 % and is related with the experience of the observer. Additional non-invasive visualisation methods are used in clinical practise in order to increase the diagnostic accuracy. One of them – spectrophotometric intracutaneous analysis, which provide the information about spatial distribution of the skin chromophores (melanin, haemoglobin and collagen). Previous studies have shown that the analysis of the high-frequency ultrasound signals can provide the information about microstructure of the tumour. So, the aim of this project is to develop the complex analysis method of spectrophotometric and ultrasound data for the automatic differential diagnosis of early stage malignant skin tumours.

Project funding:

Projects funded by the Research Council of Lithuania (RCL), Projects carried out by researchers’ teams

Project results:

The method for the automatic diagnosis of malignant skin tumours, based on complex analysis of spectrophotometric and ultrasound data have been developed. The proposed automatic classification method of the skin tumours can supplement the existing non-invasive diagnostic methods; reduce number of unnecessary surgery and histopathological examinations, also the risk for patients.

Period of project implementation: 2017-09-01 - 2020-09-30

Project coordinator: Kaunas University of Technology

Project partners: Lithuanian University of Health Sciences

Renaldas Raišutis

2017 - 2020

Laboratory of Numerical Simulations, Prof. K. Baršauskas Ultrasound Research Institute